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Improved bivariate analysis of canola survivability against blackleg disease.

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dc.contributor.authorThavarajah, T.
dc.contributor.authorWalter, J.
dc.contributor.authorTaylor, J.
dc.date.issued2025
dc.description.abstractCanola (Brassica napus) is an important oilseed crop grown extensively worldwide. It is deleteriously affected by the pathogen Leptosphaeria maculans, commonly known as blackleg, causing up to 15% yield loss in Australia annually. The most effective way to manage this disease is by growing resistant varieties. Screening genotypes for blackleg resistance has typically involved deriving percentage survivability against blackleg (from plant counts at emergence and maturity) and conducting a univariate analysis. More comprehensive approaches have involved a bivariate analysis that accounts for the correlation between plant counts. In this research, we have collated a new dataset from disease nurseries within a commercial breeding programme, comprised of related genotypes evaluated over 3 years at four locations across Australia, and outlined an innovative bivariate analysis approach. The research objectives were to (1) incorporate genomic marker information; (2) apply a more flexible residual model; and (3) develop a novel selection measure, responsiveness to blackleg disease, from the bivariate regression. Moderate to strong genetic correlations were found between traits, ranging between 0.49 and 0.91. The incorporation of genomic markers benefitted the maturity count more than emergence count. Furthermore, the more flexible residual model significantly improved model fit in five experiments. Using responsiveness as a selection measure produced comparable rankings with the univariate analysis of per cent survivability, with some re-ranking of genotypes which reflects the improved analysis through the bivariate approach. Ultimately, these results demonstrate an improvement over historic analyses, thus encouraging their adoption in canola breeding programmes to accelerate genetic gain for blackleg resistance.
dc.description.statementofresponsibilityTimothy Thavarajah, James Walter, Julian Taylor
dc.identifier.citationTheoretical and Applied Genetics, 2025; 138(9):225-1-225-15
dc.identifier.doi10.1007/s00122-025-04993-x
dc.identifier.issn0040-5752
dc.identifier.issn1432-2242
dc.identifier.orcidThavarajah, T. [0000-0002-8813-4542]
dc.identifier.orcidTaylor, J. [0000-0002-9145-052X]
dc.identifier.urihttps://hdl.handle.net/2440/147128
dc.language.isoen
dc.publisherSpringer
dc.rights© The Author(s) 2025. Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.
dc.source.urihttps://doi.org/10.1007/s00122-025-04993-x
dc.subjectbivariate analysis of canola
dc.subject.meshBrassica napus
dc.subject.meshPlant Diseases
dc.subject.meshDisease Resistance
dc.subject.meshGenotype
dc.subject.meshPlant Breeding
dc.subject.meshLeptosphaeria
dc.subject.meshAustralia
dc.subject.meshGenetic Markers
dc.subject.meshPhenotype
dc.subject.meshModels, Genetic
dc.titleImproved bivariate analysis of canola survivability against blackleg disease.
dc.typeJournal article
pubs.publication-statusPublished online

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